GitHub

Concrete Compressive Strength Prediction using Machine Learning

Concrete is one of the most important materials in Civil Engineering. Knowing the compressive strength of concrete is very important when constructing a building or a bridge. The Compressive Strength ...
GitHub

NeurIPS 2023 Data Contribution Estimation for Machine Learning Tutorial

Tasks enabled by data contribution estimation (DCE) aid model improvement through data improvement. While benchmark DCE evaluation tasks show application across many ML domains, DCE has limited ...
IEEE

GPR identification of voids inside concrete based on support vector machine (SVM) algorithm

Abstract: In this paper, voids inside concrete is identified and classified from ground penetrating radar (GPR) image in a completely automatic way basing on the support vector machine (SVM) algorithm ...
IEEE

Machine Learning on the Fly: A Hands-On Tutorial for Streaming Data

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...
SciELO

Predicting bond strength between steel reinforcement and concrete materials using machine ...

Predicting the adhesive force between steel reinforcement and concrete is crucial as it influences stress distribution and the overall mechanical behavior of reinforced concrete. This study proposes a ...
Investopedia

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...